Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Improvement and Impacts of Forest Canopy Parameters on Noah-MP Land Surface Model from UAV-Based Photogrammetry

Ming Chang
ORCID logo ,
Shengjie Zhu
,
Jiachen Cao
,
Bingyin Chen
,
Qi Zhang
,
Weihua Chen
,
Shiguo Jia
,
Padmaja Krishnan
,
Xuemei Wang
*
Version 1 : Received: 22 October 2020 / Approved: 22 October 2020 / Online: 22 October 2020 (22:08:17 CEST)

A peer-reviewed article of this Preprint also exists.

Chang, M.; Zhu, S.; Cao, J.; Chen, B.; Zhang, Q.; Chen, W.; Jia, S.; Krishnan, P.; Wang, X. Improvement and Impacts of Forest Canopy Parameters on Noah-MP Land Surface Model from UAV-Based Photogrammetry. Remote Sens. 2020, 12, 4120. Chang, M.; Zhu, S.; Cao, J.; Chen, B.; Zhang, Q.; Chen, W.; Jia, S.; Krishnan, P.; Wang, X. Improvement and Impacts of Forest Canopy Parameters on Noah-MP Land Surface Model from UAV-Based Photogrammetry. Remote Sens. 2020, 12, 4120.

Abstract

Taking a typical forest underlying surface as the research area, this study employed the unmanned aerial vehicle (UAV) photogrammetry to explore more accurate canopy parameters including tree height and canopy radius, which were used to improve the Noah-MP land surface model conducted in Dinghushan Forest Ecosystem Research Station (CN-Din). While the canopy radius was fitted as a Burr distribution, the canopy height of CN-Din forest followed a Weibull distribution. The replacement of the parameters by these observed UAV would result in the Noah-MP model. It was found that the influence on the simulation of the energy fluxes could not be negligible, and the main influence of these canopy parameters was on the latent heat flux which could decrease up to -11% in the midday while increase up to 15% in the nighttime. Additionally, this work indicated that the description of the canopy characteristics for the land surface model should be improved to accurately deliver the heterogeneity for the underlying surface.

Keywords

forest canopy parameters; UAV-based photogrammetric; land surface modelling

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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